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Abstract

Traditional matrix-based methods and common statistical formulas often require extensive time, effort, and the organization of numerous complex tables. The authors propose this alternative method as a more efficient and user-friendly tool for researchers. By reducing the mathematical burden of manual calculations in high-factor experiments, the study contributes a practical advancement to the field of experimental design, demonstrating through application that the suggested method maintains accuracy while significantly enhancing computational ease compared to standard procedures.

DOI

10.33095/jeas.v28i134.2430

Subject Area

Accounting

First Page

186

Last Page

204

Rights

http://creativecommons.org/licenses/by-nc-nd/4.0

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